Data Science Intern (Summer 2025)

Zurn Elkay Water Solutions Corporation is a thriving, values-driven company focused on doing the right things. We're a fast growing, publicly traded company (NYSE: ZWS), with an enduring reputation for integrity, giving back, and providing an engaging, inclusive environment where careers flourish and grow.

Named by Newsweek as One of America's Most Responsible Companies and an Energage USA Top Workplace, at Zurn Elkay Water Solutions Corporation, we never forget that our people are at the center of what makes us successful. They are the driving force behind our superior quality, product ingenuity, and exceptional customer experience. Our commitment to our people and their professional development is a recipe for success that has fueled our growth for over 100 years, as one of today's leading international suppliers of plumbing and water delivery solutions.

Headquartered in Milwaukee, WI, Zurn Elkay Water Solutions Corporation employs over 2800 employees worldwide, working from 24 locations across the U.S., China, Canada, Dubai, and Mexico, with sales offices available around the globe. We hope you'll visit our website and learn more about Zurn Elkay at zurnelkay.com.

If you're ready to join a company where what you do makes a difference and you have pride in the work you are doing, talk to us about joining the Zurn Elkay Water Solutions Corporation family!

Job Description

The Data Science Intern will support growth of the Data Science function at Zurn Elkay by seeking out new project opportunities and supporting ongoing Data Science initiatives. This will give the student the opportunity to learn how to leverage data science to support business decisions for strategic advantage by extracting insights on market opportunities, growth and cost savings from systems and data.

Key Accountabilities

• Lead a Data Science project with a business partner

• Contribute to the Data Science framework

• Improve an existing Data Science process.

Qualifications/Requirements

• A student that is currently enrolled for completion of their Bachelor's or Master's degree in Data (Science, Analytics, Information Systems, Programming), Computer Science, Statistics, Mathematics, Business or related field.

  • Students completing their Sophomore or Junior year preferred

• Prior coding experience required. Preferably experience with R or Python

• Proven coursework in Data Science & directly related subjects

• Familiarity with statistical and machine learning techniques, including linear and logistic regression, decision trees, random forests, time series forecasting, as well as clustering and classification algorithms.

• Demonstrated ability to conduct exploratory data analysis (EDA) to extract actionable insights from complex datasets.

• Ability to work both collaboratively and independently in a dynamic environment.

• Excellent verbal and written communication skills.

• Microsoft Office proficiency (Outlook, Word, Excel and PowerPoint).

• Ability to work 40 hours per week over the Summer

Capabilities and Success Factors

• Action Oriented - Taking on new opportunities and tough challenges with a sense of urgency, high energy, and enthusiasm.

• Customer Focus - Building strong customer relationships and delivering customer-centric solutions.

• Instills Trust - Gaining the confidence and trust of others through honesty, integrity, and authenticity.

• Optimizes Work Processes - Knowing the most effective and efficient processes to get things done, with a focus on continuous improvement.

• Self-Development - Actively seeking new ways to grow and be challenged using both formal and informal development channels.

• Competitive Salary
• Medical, Dental, Vision, STD, LTD, AD&D, and Life Insurance
• Matching 401(k) Contribution
• Health Savings Account
• Up to 3 Weeks Vacation
• 12 Paid Holidays
• Annual Bonus Eligibility
• Educational Reimbursement
• Matching Gift Program

**THIRD PARTY AGENCY: Any unsolicited submissions received from recruitment agencies will be considered property of Zurn Elkay, and we will not be liable for any fees or obligations related to those submissions.**

Equal Opportunity Employer - Minority/Female/Disability/Veteran